Tests and confidence intervals for differences in cross-validated AUC

woe credit

Recipes for common operations in logistic regression: Data cleaning, ANOVA, ROC, & AUC

Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve

A repository for sharing code and my various projects

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Includes a package for rank order clustering and modified rank order clustering proposed by Amruthnath (2016)

mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.

R-script addaptation of RATEPOL

University of Tehran - Spring 2020

ROC-GLM and calibration analysis for DataSHIELD

BEGINNER - This is a classification project for the subject "Data Mining" in the 3rd year of Statistics (SSE) at the University of Milano-Bicocca.

R package 'wROC'. Estimation of the ROC curve and AUC with complex survey data.

611 project on NYC Language Data

This is a tutorial analysing a fake study. The tutorial is aimed at people broadly familiar with basic stats, but who need a hand adapting this to R, and who are motivated to learn to code in R. More specifically, it looks at participant characteristics/descriptive stats, basic hypothesis testing, logistic regression, and ROC curve analysis

Bioinformatics consultancy on MS-MLPA data analysis | Consultoria em Bioinformática para análise de dados de MS-MLPA

Display and analyze ROC curves in R